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ORCIDRakesh Katuwal
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2020 – today
- 2023
[j8]Minghui Hu
, Jet Herng Chion, Ponnuthurai Nagaratnam Suganthan, Rakesh Katuwal:
Ensemble Deep Random Vector Functional Link Neural Network for Regression. IEEE Trans. Syst. Man Cybern. Syst. 53(5): 2604-2615 (2023)- 2022
- [j7]Qiushi Shi, Minghui Hu, Ponnuthurai Nagaratnam Suganthan, Rakesh Katuwal:
Weighting and pruning based ensemble deep random vector functional link network for tabular data classification. Pattern Recognit. 132: 108879 (2022) - [i4]Qiushi Shi, Ponnuthurai Nagaratnam Suganthan, Rakesh Katuwal:
Weighting and Pruning based Ensemble Deep Random Vector Functional Link Network for Tabular Data Classification. CoRR abs/2201.05809 (2022) - 2021
- [j6]Ponnuthurai N. Suganthan, Rakesh Katuwal:
On the origins of randomization-based feedforward neural networks. Appl. Soft Comput. 105: 107239 (2021) - [j5]Wen Xin Cheng, Ponnuthurai N. Suganthan, Rakesh Katuwal:
Time series classification using diversified Ensemble Deep Random Vector Functional Link and Resnet features. Appl. Soft Comput. 112: 107826 (2021) - [j4]Qiushi Shi, Rakesh Katuwal, Ponnuthurai N. Suganthan, Muhammad Tanveer:
Random vector functional link neural network based ensemble deep learning. Pattern Recognit. 117: 107978 (2021) - 2020
- [j3]Rakesh Katuwal, Ponnuthurai N. Suganthan, Le Zhang:
Heterogeneous oblique random forest. Pattern Recognit. 99 (2020) - [c6]Wen Xin Cheng, Ponnuthurai N. Suganthan, Rakesh Katuwal:
Oblique Random Forests on Residual Network Features. ICONIP (3) 2020: 306-317
2010 – 2019
- 2019
- [j2]Rakesh Katuwal, Ponnuthurai N. Suganthan:
Stacked autoencoder based deep random vector functional link neural network for classification. Appl. Soft Comput. 85 (2019) - [c5]Wen Xin Cheng, Ponnuthurai N. Suganthan, Xueheng Qiu, Rakesh Katuwal:
Classification of Stock Market Trends with Confidence-Based Selective Predictions. SEMCCO/FANCCO 2019: 93-104 - [i3]Rakesh Katuwal, Ponnuthurai N. Suganthan, Muhammad Tanveer:
Random Vector Functional Link Neural Network based Ensemble Deep Learning. CoRR abs/1907.00350 (2019) - [i2]Rakesh Katuwal, Ponnuthurai N. Suganthan:
Stacked Autoencoder Based Deep Random Vector Functional Link Neural Network for Classification. CoRR abs/1910.01858 (2019) - 2018
- [j1]Rakesh Katuwal, Ponnuthurai N. Suganthan, Le Zhang:
An ensemble of decision trees with random vector functional link networks for multi-class classification. Appl. Soft Comput. 70: 1146-1153 (2018) - [c4]Rakesh Katuwal, Ponnuthurai N. Suganthan:
Enhancing Multi-Class Classification of Random Forest using Random Vector Functional Neural Network and Oblique Decision Surfaces. IJCNN 2018: 1-8 - [c3]Rakesh Katuwal, Ponnuthurai N. Suganthan:
Dropout and DropConnect based Ensemble of Random Vector Functional Link Neural Network. SSCI 2018: 1772-1778 - [i1]Rakesh Katuwal, Ponnuthurai N. Suganthan:
Enhancing Multi-Class Classification of Random Forest using Random Vector Functional Neural Network and Oblique Decision Surfaces. CoRR abs/1802.01240 (2018) - 2017
- [c2]Katuwal Rakesh, Ponnuthurai N. Suganthan:
An Ensemble of Kernel Ridge Regression for Multi-class Classification. ICCS 2017: 375-383 - [c1]Wen Xin Cheng, Rakesh Katuwal, Ponnuthurai N. Suganthan, Xueheng Qiu:
A heterogeneous ensemble of trees. SSCI 2017: 1-6
Coauthor Index
aka: Ponnuthurai Nagaratnam Suganthan
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